Variable-fidelity surrogate model based on transfer learning and its application in multidisciplinary design optimization of aircraft
JX Leng, Y Feng, W Huang, Y Shen, ZG Wang - Physics of Fluids, 2024 - pubs.aip.org
Variable-fidelity surrogate models leverage low-fidelity data with low cost to assist in
constructing high-precision models, thereby improving modeling efficiency. However …
constructing high-precision models, thereby improving modeling efficiency. However …
Flow field prediction and optimization of non-axisymmetric aero-engine nacelles based on deep learning
G Tao, Y Liu, J Cui - Aerospace Science and Technology, 2025 - Elsevier
Nacelle designs are evolving toward compact configurations to tackle the aerodynamic
challenges of higher bypass ratios. Traditional methods require extensive computational …
challenges of higher bypass ratios. Traditional methods require extensive computational …